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An Introduction to Red Hat’s Data Grid 6

By   /  June 25, 2012  /  No Comments

by Angela Guess

Brian Proffitt of ReadWriteWed reports, “Red Hat’s addition of Data Grid 6 to its JBoss family of products cements the company’s position as a major datacenter player. The new storage management component within Red Hat’s JBoss middleware platform is designed to give large e-commerce and financial transaction customers the ability to handle operations where speed and scalability are essential. Red Hat JBoss Data Grid 6 is not like the big-data solutions found in the Hadoop ecosystem: as an in-memory, key-value store, Data Grid is much more optimized to handle the operations that Hadoop simply can’t: transactions like the kind found in e-commerce and financial trading systems.”

Proffitt continues, “Because so much read and write activity is needed in a single transaction, a batch processing system like Hadoop or even a relational database can’t keep up with the speed and scaling necessary to make huge systems found at banks, trading houses or mega-merchants like Amazon. Countering the issues of speed and scalability is the requirement to adhere to the Principles of Distributed Computing formed by computer scientist Eric Brewer. Specifically, Brewer postulated the CAP Theorem, which holds that systems must be consistent with data, all requests must be available, and partition tolerance must be in place in case of system failure. To get the speeds and uptime it needs, Amazon will use its non-relational Dynamo database to apply an ‘eventually consistent’ approach to their database systems.”

Read more here.

photo credit: Red Hat

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